Engineering AI Jobs
Backend, full-stack, frontend, mobile. The roles that build the product around the model.
Every role on this page is from a company we recognise as building AI as a primary product. No bolt-on AI roles, no third-party scrapers, no padding.
Live roles
Member of Technical Staff (Software Engineer, Inference & Training Platform)
Perplexity
Product Manager, Safeguards (Verticals)
Anthropic
Power Systems Engineer (Data Center Infrastructure)
SpaceXAI
Electrical Reliability Engineer (Data Center Infrastructure)
SpaceXAI
Harness Engineer
OpenAI
Backend Software Engineer, API Enterprise Controls
OpenAI
Data Center Compute Infrastructure
OpenAI
Senior Staff Software Engineer, Engineering Acceleration \| Consumer Devices
OpenAI
GTM Data Analyst
Cursor
AI Success Engineer - EDU
OpenAI
Engineering Manager for Agent & Product Security
Cursor
Staff + Sr. Software Engineer, Cloud Inference Launch Engineering
Anthropic
Staff+ Software Engineer, Capacity Engineering
Anthropic
Data Center Architect, CSA
Anthropic
Software Security Engineering Manager, Secure Frameworks
Anthropic
Member of Technical Staff - RL Training Framework
SpaceXAI
AI Deployment Engineer, Ecosystem - Plugins
OpenAI
Software Engineer - X Data
xAI
Risk and Compliance Lead
Replit
Third Party Risk Management and Customer Trust Lead
Replit
Reliability Engineer (Data Center Infrastructure)
xAI
Member of Technical Staff (Software Engineer, Agentic Enterprise)
Perplexity
Regional Vice President, Public Sector Field Engineering
Cursor
Regional Director, Field Engineering
Cursor
Mechanical Engineer (Data Center Infrastructure)
xAI
Facilities Infrastructure Engineer (Data Center Infrastructure)
xAI
Electrical Engineer (Data Center Infrastructure)
xAI
Solutions Architect, Central Europe
Cursor
Member of Technical Staff (Software Engineer, Desktop Apps)
Perplexity AI
Model Behaviour Architect- Multilingual
Mistral AI
New to AI work? Start with these.
Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.
Claude Desktop, from zero.
The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.
What MCPs areThe best MCPs for Claude Desktop.
MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.
Code with AIClaude Code, the complete beginners' guide.
The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.
Run a local modelHow to set up LM Studio.
Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.
The hardware realityBeginner's guide to AI hardware.
What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.
Browse the stackMCP catalogue.
Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.